Stars
This is the artifact of the IEEE S&P 2026 paper "Hijacking Large Audio-Language Models via Context-agnostic Auditory Prompt Injection".
A simple tool for visually comparing two PDF files
Unified automatic quality assessment for speech, music, and sound.
A collection of token reduction (token pruning, merging, clustering, etc.) techniques for ML/AI
Fun-Audio-Chat is a Large Audio Language Model built for natural, low-latency voice interactions.
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
A reading list for trustworthy audio large language models.
Open Overleaf/ShareLaTex projects in vscode, with full collaboration support.
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
AI Audio Datasets (AI-ADS) 🎵, including Speech, Music, and Sound Effects, which can provide training data for Generative AI, AIGC, AI model training, intelligent audio tool development, and audio a…
Curated list of datasets and tools for post-training.
An elegant Übersicht desktop countdown widget.
Vector (and Scalar) Quantization, in Pytorch
[TACL'26] VoiceBench: Benchmarking LLM-Based Voice Assistants
Code of paper "AdvReverb: AdvReverb: Rethinking the Stealthiness of Audio Adversarial Examples to Human Perception"
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities (ICML 2024)
Official Repo of "MMBench: Is Your Multi-modal Model an All-around Player?"
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
A curated list of resources dedicated to the safety of Large Vision-Language Models. This repository aligns with our survey titled A Survey of Safety on Large Vision-Language Models: Attacks, Defen…
🐧 一个更完整、更优雅的 Linux Clash / Mihomo 代理运行平台
🛡 A curated list of adversarial attacks in PyTorch, with a focus on transferable black-box attacks.
😎 up-to-date & curated list of awesome Attacks on Large-Vision-Language-Models papers, methods & resources.
⚡ Vigil ⚡ Detect prompt injections, jailbreaks, and other potentially risky Large Language Model (LLM) inputs
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A Toolbox for Adversarial Robustness Research